identify functional networks affected
by treatments or phenotypes
and pathway analysis
problema client asked COSBI to determine the pathways involved in adipogenesis under different conditions
by developing a proprietary network-based, functional enrichment algorithm to omics data, we ranked pathways according to their level of involvement at different cellular response time points
COSBI developed a novel network-based, contextual enrichment method
a biological interpretation of the results led us to identify important mechanisms affected by the conditions
I. Nassiri, R. Lombardo, M. Lauria, M.J. Morine, P. Moyseos, V. Varma, G.T. Nolen, B. Knox, D. Sloper, J. Kaput and C. Priami. Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules, Nat. Sci. Rep., 2016.
M. Scott Boyer, S. Lacroix, M. Scotti, M. Morine, J. Kaput, C. Priami. A network analysis of cofactor-protein interactions for analyzing associations between human disease and nutrition, Nat. Sci. Rep., 6:19633, 2016.
T. Nyima, M. Müller, G. Hooiveld, M. Morine, M. Scotti. Nonlinear transcriptomic response to dietary fat intake in the small intestine of C57BL/6J mice, BMC Genomics, 17:106, 2016.
C. Priami and M.J. Morine. analysis of biological systems. Imperial College Press, 2015.
A. Matone, C. O’Grada, E.T. Dillon, C. Morris, M.F. Ryan, M. Walsh, E.R. Gibney, L. Brennan, M.J. Gibney, M.J. Morine, H.M. Roche. Body mass index mediates inflammatory response to acute dietary challenges. Mol Nutr Food Res, 2015.
C. O'Grada, M. Morine, C. Morris, M.F. Ryan, E.T. Dillon, M. Walsh, E. Gibney, L. Brennan, M. Gibney, H. Roche. PBMCs reflect the immune component of the WAT transcriptome - Implications as biomarkers of metabolic health in the postprandial state, Mol Nutr Food Res, 2013.